Field to Database: Difference between revisions

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This workshop's aim is to investigate current trends in collecting, and focus on best practices and skills development for supporting the collection and sharing of robust, fit-for-research-use data. This 4-day short course is designed to be hands-on and will mix lectures with field work and participant exercises and presentations.
This workshop's aim is to investigate current trends in collecting, and focus on best practices and skills development for supporting the collection and sharing of robust, fit-for-research-use data. This 4-day short course is designed to be hands-on and will mix lectures with field work and participant exercises and presentations.


'''Goals'''
==='''Goals'''===
*Investigate, observe, discover leading-edge trends in field collecting.
*Investigate, observe, discover leading-edge trends in field collecting.
*Provide examples of best practices for data collecting and data sharing including such data as field data, identifiers, trait data, and environmental variables.
*Provide examples of best practices for data collecting and data sharing including such data as field data, identifiers, trait data, and environmental variables.
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*Discuss how data gets published and discovered.
*Discuss how data gets published and discovered.


'''Objectives'''
==='''Objectives'''===
*Students participate in field collecting with subject-matter experts and present what changes they plan to make to their collecting practices in a workshop presentation.
*Students participate in field collecting with subject-matter experts and present what changes they plan to make to their collecting practices in a workshop presentation.
*Subject-matter experts share what they have learned from seeing / talking with others on this topic.
*Subject-matter experts share what they have learned from seeing / talking with others on this topic.
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*Students write a post-workshop blog post, prepare a report, or presentation, to synthesize what was learned and pay-it-forward.
*Students write a post-workshop blog post, prepare a report, or presentation, to synthesize what was learned and pay-it-forward.


 
===Our curriculum overview===
Our curriculum overview:
:'''Day 1''': Why a Field-to-Database Biodiversity Informatics Workshop? On Site Field Demos from Invited Experts from Paleontology, Ornithology, Ecology, Marine Science, Entomology, and Botany
:'''Day 1''': Why a Field-to-Database Biodiversity Informatics Workshop? On Site Field Demos from Invited Experts from Paleontology, Ornithology, Ecology, Marine Science, Entomology, and Botany
:'''Day 2''': Student 3-minute presentations. General issues in field data collection to data synthesis. Getting started with R.
:'''Day 2''': Student 3-minute presentations. General issues in field data collection to data synthesis. Getting started with R.
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The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.
The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.


'''Skill Level''': '''Some exposure to R is required'''. This workshop is not for beginners. If you are new-ish to R, we request you take an intro to R course before the workshop. There are several good options:
===='''Skill Level''':==== '''Some exposure to R is required'''. This workshop is not for beginners. If you are new-ish to R, we request you take an intro to R course before the workshop. There are several good options:
:[http://tryr.codeschool.com/ Try R] (Code School course)
:[http://tryr.codeschool.com/ Try R] (Code School course)
:[https://www.coursera.org/course/rprog intro to R](Coursera course starts Feb 2nd).
:[https://www.coursera.org/course/rprog intro to R](Coursera course starts Feb 2nd).
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Updates will be posted to this website as they become available.
Updates will be posted to this website as they become available.


'''Software Installation Requirements''' and additional information is available at the github web site for the project:
==='''Software Installation Requirements'''=== and additional information is available at the github web site for the project:
*github links to datasets here
*github links to datasets here
*Rstudio
*Rstudio
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